Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Develop and maintain highly scalable data pipelines to support machine learning models and analytics. Collaborate with data scientists and ML engineers to deliver consistent, reliable data, including through integrations, APIs, and external data services. Design and optimize storage for structured and unstructured data (relational, search like Elasticsearch, and NoSQL), while implementing data quality monitoring, governance, and security compliance. Keep thorough documentation such as data dictionaries, metadata, and architecture diagrams.

Location: Anywhere

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and build highly scalable data pipelines for machine learning models and analytics.
•Work with data scientists, ML engineers, and stakeholders to ensure data is accessible, consistent, and reliable.
•Develop and maintain APIs for data access and manipulation, including integrations with external data services.
•Manage and optimize storage solutions for structured and unstructured data, including relational databases, Text/Image/Audio/Video, Elasticsearch, and NoSQL.
•Monitor data quality and ensure production data accuracy and availability, while collaborating with ML engineers and maintaining documentation and compliance.

Key Requirements

•Design, construct, install, test, and maintain highly scalable data pipelines for machine learning models and analytics.
•Ensure data is accessible, consistent, and reliable by collaborating with data scientists, ML engineers, and stakeholders.
•Develop and maintain APIs for data access and manipulation, including integrations with external data services.
•Manage and optimize storage for structured and unstructured data, including relational databases, search engines like Elasticsearch, and NoSQL databases.
•Implement processes for data quality monitoring, governance, and compliance with data security and privacy policies.

Skills:CollaborationDocumentation

Tech Stack:APIsData pipelinesElasticsearchNoSQLRelational databasesData quality monitoring

Company Brief

Presight

Website

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Presight

3 days ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and build highly scalable data pipelines for machine learning models and analytics.
•Work with data scientists, ML engineers, and stakeholders to ensure data is accessible, consistent, and reliable.
•Develop and maintain APIs for data access and manipulation, including integrations with external data services.
•Manage and optimize storage solutions for structured and unstructured data, including relational databases, Text/Image/Audio/Video, Elasticsearch, and NoSQL.
•Monitor data quality and ensure production data accuracy and availability, while collaborating with ML engineers and maintaining documentation and compliance.

Key Requirements

•Design, construct, install, test, and maintain highly scalable data pipelines for machine learning models and analytics.
•Ensure data is accessible, consistent, and reliable by collaborating with data scientists, ML engineers, and stakeholders.
•Develop and maintain APIs for data access and manipulation, including integrations with external data services.
•Manage and optimize storage for structured and unstructured data, including relational databases, search engines like Elasticsearch, and NoSQL databases.
•Implement processes for data quality monitoring, governance, and compliance with data security and privacy policies.

Skills:CollaborationDocumentation

Tech Stack:APIsData pipelinesElasticsearchNoSQLRelational databasesData quality monitoring

Company Brief

Presight

Website